README.md

graph4nlp_literature

This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP

• Dialogue Generation

  • GNN for Directed Graphs

    • IJCAI-19

      GSN: A Graph-Structured Network for Multi-Party Dialogues

  • App-driven

    • IJCAI-19

      GSN: A Graph-Structured Network for Multi-Party Dialogues

• Open-domain Question Answering

  • GNN for Directed Graphs

    • EMNLP-19

      PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text

    • EMNLP-20

      Open Domain Question Answering based on Text Enhanced Knowledge Graph with Hyperedge Infusion

    • EMNLP-18

      Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

  • Graph2Seq

    • EMNLP-19

      PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text

    • EMNLP-20

      Open Domain Question Answering based on Text Enhanced Knowledge Graph with Hyperedge Infusion

    • EMNLP-18

      Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

  • Knowledge

    • EMNLP-19

      PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text

    • EMNLP-20

      Open Domain Question Answering based on Text Enhanced Knowledge Graph with Hyperedge Infusion

    • EMNLP-18

      Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

• Commonsense

  • Knowledge

    • IJCAI-18

      Commonsense Knowledge Aware Conversation Generation with Graph Attention

• Knowledge Graph Alignment

  • GNN for Directed Graphs

    • ACL-19

      Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network

  • GNN for Heterogeneous Graphs

    • ACL-19

      Multi-Channel Graph Neural Network for Entity Alignment

    • IJCAI-19

      A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment

      Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs

  • GNN for Undirected Graphs

    • AAAI-20

      Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation

      Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment

    • EMNLP-19

      Aligning Cross-Lingual Entities with Multi-Aspect Information

      Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model

      Jointly Learning Entity and Relation Representations for Entity Alignment

    • EMNLP-20

      Knowledge Graph Alignment with Entity-Pair Embedding

    • EMNLP-18

      Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks

  • Knowledge

    • AAAI-20

      Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation

      Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment

    • ACL-19

      Multi-Channel Graph Neural Network for Entity Alignment

      Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network

    • EMNLP-19

      Aligning Cross-Lingual Entities with Multi-Aspect Information

      Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model

      Jointly Learning Entity and Relation Representations for Entity Alignment

    • EMNLP-20

      Knowledge Graph Alignment with Entity-Pair Embedding

    • IJCAI-19

      A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment

      Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs

    • EMNLP-18

      Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks

• Named-entity Recognition

  • Node Embedding Based Refined

    • NAACL-19

      A General Framework for Information Extraction using Dynamic Span Graphs

  • Coreference

    • NAACL-19

      A General Framework for Information Extraction using Dynamic Span Graphs

  • Dependency

    • ACL-19

      GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction

  • GNN for Directed Graphs

    • ACL-20

      Bipartite Flat-Graph Network for Nested Named Entity Recognition

    • ACL-19

      A Neural Multi-digraph Model for Chinese NER with Gazetteers

  • App-driven

    • ACL-20

      Bipartite Flat-Graph Network for Nested Named Entity Recognition

    • ACL-19

      A Neural Multi-digraph Model for Chinese NER with Gazetteers

    • EMNLP-19

      A Lexicon-Based Graph Neural Network for Chinese NER

  • GNN for Heterogeneous Graphs

    • ACL-19

      GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction

    • EMNLP-19

      A Lexicon-Based Graph Neural Network for Chinese NER

  • GNN for Undirected Graphs

    • EMNLP-19

      Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network

  • Knowledge

    • EMNLP-19

      Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network

• AMR2Text

  • Graph2Graph

    • EMNLP-20

      Online Back-Parsing for AMR-to-Text Generation

  • Dependency

    • ACL-18

      Graph-to-Sequence Learning using Gated Graph Neural Networks

  • GNN for Directed Graphs

    • AAAI-20

      Graph Transformer for Graph-to-Sequence Learning

    • COLING-20

      Generalized Shortest-Paths Encoders for AMR-to-Text Generation

    • ACL-20

      Structural Information Preserving for Graph-to-Text Generation

      Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks

    • ACL-19

      Modeling Graph Structure in Transformer for Better AMR-to-Text Generation

    • TACL-20

      AMR-To-Text Generation with Graph Transformer

    • EMNLP-19

      Enhancing AMR-to-Text Generation with Dual Graph Representations

    • EMNLP-20

      Online Back-Parsing for AMR-to-Text Generation

      Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation

    • ACL-18

      Graph-to-Sequence Learning using Gated Graph Neural Networks

      A Graph-to-Sequence Model for AMR-to-Text Generation

    • NAACL-19

      Structural Neural Encoders for AMR-to-text Generation

    • IJCAI-20

      Better AMR-To-Text Generation with Graph Structure Reconstruction

    • TACL-19

      Semantic neural machine translation using AMR

  • AMR

    • AAAI-20

      Graph Transformer for Graph-to-Sequence Learning

    • COLING-20

      Generalized Shortest-Paths Encoders for AMR-to-Text Generation

    • ACL-20

      Heterogeneous Graph Transformer for Graph-to-Sequence Learning

      Structural Information Preserving for Graph-to-Text Generation

      Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks

    • ACL-19

      Modeling Graph Structure in Transformer for Better AMR-to-Text Generation

    • TACL-20

      AMR-To-Text Generation with Graph Transformer

    • EMNLP-19

      Enhancing AMR-to-Text Generation with Dual Graph Representations

    • EMNLP-20

      Online Back-Parsing for AMR-to-Text Generation

      Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation

    • ACL-18

      Graph-to-Sequence Learning using Gated Graph Neural Networks

      A Graph-to-Sequence Model for AMR-to-Text Generation

    • NAACL-19

      Structural Neural Encoders for AMR-to-text Generation

    • IJCAI-20

      Better AMR-To-Text Generation with Graph Structure Reconstruction

    • TACL-19

      Semantic neural machine translation using AMR

      Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning

  • GNN for Heterogeneous Graphs

    • ACL-20

      Heterogeneous Graph Transformer for Graph-to-Sequence Learning

  • Graph2Seq

    • AAAI-20

      Graph Transformer for Graph-to-Sequence Learning

    • COLING-20

      Generalized Shortest-Paths Encoders for AMR-to-Text Generation

    • ACL-20

      Heterogeneous Graph Transformer for Graph-to-Sequence Learning

      Structural Information Preserving for Graph-to-Text Generation

      Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks

    • ACL-19

      Modeling Graph Structure in Transformer for Better AMR-to-Text Generation

    • TACL-20

      AMR-To-Text Generation with Graph Transformer

    • EMNLP-19

      Enhancing AMR-to-Text Generation with Dual Graph Representations

    • EMNLP-20

      Online Back-Parsing for AMR-to-Text Generation

      Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation

    • ACL-18

      Graph-to-Sequence Learning using Gated Graph Neural Networks

      A Graph-to-Sequence Model for AMR-to-Text Generation

    • NAACL-19

      Structural Neural Encoders for AMR-to-text Generation

    • IJCAI-20

      Better AMR-To-Text Generation with Graph Structure Reconstruction

    • TACL-19

      Semantic neural machine translation using AMR

      Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning

  • GNN for Undirected Graphs

    • TACL-19

      Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning

  • Knowledge

    • ACL-20

      Structural Information Preserving for Graph-to-Text Generation

• Math Word Problem

  • Dependency

    • EMNLP-20

      Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem

  • GNN for Directed Graphs

    • EMNLP-20

      Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem

  • App-driven

    • ACL-20

      Graph-to-Tree Learning for Solving Math Word Problems

      Premise Selection in Natural Language Mathematical Texts

    • ICLR-20

      Mathematical Reasoning in Latent Space

  • GNN for Heterogeneous Graphs

    • EMNLP-20

      Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem

  • Constituency

    • EMNLP-20

      Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem

  • Knowledge

    • ACL-20

      A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving

  • Graph2Tree

    • ACL-20

      A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving

      Graph-to-Tree Learning for Solving Math Word Problems

    • EMNLP-20

      Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem

• Topic Modeling

  • Co-occurrence

    • EMNLP-18

      GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model

  • GNN for Directed Graphs

    • WWW-20

      Graph Attention Topic Modeling Network

    • EMNLP-18

      GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model

  • GNN on Directed Graphs

    • EMNLP-20

      Neural Topic Modeling by Incorporating Document Relationship Graph

  • Topic

    • KDD-20

      Graph Structural-topic Neural Network

    • ACL-20

      Tree-Structured Neural Topic Model

    • EMNLP-20

      Neural Topic Modeling by Incorporating Document Relationship Graph

• Dialogue State Tracking

  • GNN for Directed Graphs

    • COLING-19

      Structured Dialogue Policy with Graph Neural Networks

  • App-driven

    • AAAI-20

      Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks

  • GNN for Heterogeneous Graphs

    • AAAI-20

      Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks

  • Node Embedding Based

    • COLING-19

      Structured Dialogue Policy with Graph Neural Networks

• Parsing

  • GNN for Directed Graphs

    • NeurIPS-20

      Strongly Incremental Constituency Parsing with Graph Neural Networks

  • Constituency

    • NeurIPS-20

      Strongly Incremental Constituency Parsing with Graph Neural Networks

• Entity Typing in KB

  • GNN for Undirected Graphs

    • EMNLP-19

      Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks

  • Knowledge

    • EMNLP-19

      Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks

• Dependency Parsing

  • Dependency

    • ACL-20

      Neural Reranking for Dependency Parsing: An Evaluation

  • GNN for Directed Graphs

    • ACL-20

      Neural Reranking for Dependency Parsing: An Evaluation

  • App-driven

    • ACL-19

      Graph-based Dependency Parsing with Graph Neural Networks

  • GNN for Undirected Graphs

    • ACL-19

      Graph-based Dependency Parsing with Graph Neural Networks

  • Graph2Tree

    • ACL-19

      Graph-based Dependency Parsing with Graph Neural Networks

• Text Matching

  • GNN for Directed Graphs

    • ACL-20

      Neural Graph Matching Networks for Chinese Short Text Matching

  • App-driven

    • ACL-20

      Neural Graph Matching Networks for Chinese Short Text Matching

      Matching Article Pairs with Graphical Decomposition and Convolutions

  • GNN for Undirected Graphs

    • ACL-20

      Matching Article Pairs with Graphical Decomposition and Convolutions

• Question Generation

  • Dependency

    • WWW-19

      Learning to Generate Questions by Learning What not to Generate

    • COLING-20

      Answer-driven Deep Question Generation based on Reinforcement Learning

    • ICLR-20

      Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation

  • GNN for Directed Graphs

    • ICLR-20

      Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation

  • Node Embedding Based

    • ICLR-20

      Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation

  • Graph2Seq

    • COLING-20

      Answer-driven Deep Question Generation based on Reinforcement Learning

    • ICLR-20

      Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation

  • GNN for Undirected Graphs

    • WWW-19

      Learning to Generate Questions by Learning What not to Generate

    • COLING-20

      Answer-driven Deep Question Generation based on Reinforcement Learning

• Next Utterance Prediction

  • App-driven

    • AAAI-21

      A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training

  • GNN for Undirected Graphs

    • AAAI-21

      A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training

• Code Summarization

  • GNN for Directed Graphs

    • ArXiv-20

      Improved code summarization via a graph neural network

    • ICLR-18

      learning to represent programs with graphs

    • ICLR-19

      Structured Neural Summarization

  • App-driven

    • ArXiv-20

      Improved code summarization via a graph neural network

    • ICLR-18

      learning to represent programs with graphs

    • ICLR-19

      Structured Neural Summarization

  • Graph2Seq

    • ArXiv-20

      Improved code summarization via a graph neural network

    • ICLR-18

      learning to represent programs with graphs

    • ICLR-19

      Structured Neural Summarization

• Event Detection

  • Position

    • RANLP-17

      Graph-based Event Extraction from Twitter

  • Co-occurrence

    • RANLP-17

      Graph-based Event Extraction from Twitter

  • Dependency

    • AAAI-18

      Graph Convolutional Networks with Argument-Aware Pooling for Event Detection

      Graph Convolutional Networks with Argument-Aware Pooling for Event Detection

    • EMNLP-19

      Event Detection with Multi-Order Graph Convolution and Aggregated Attention

    • EMNLP-20

      Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation

    • EMNLP-18

      Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation

  • GNN for Directed Graphs

    • ACL-19

      Encoding Social Information with Graph Convolutional Networks for Political Perspective Detection in News Media

    • AAAI-18

      Graph Convolutional Networks with Argument-Aware Pooling for Event Detection

      Graph Convolutional Networks with Argument-Aware Pooling for Event Detection

    • EMNLP-19

      Event Detection with Multi-Order Graph Convolution and Aggregated Attention

    • EMNLP-20

      Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation

      Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks

    • EMNLP-18

      Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation

  • App-driven

    • ACL-19

      Encoding Social Information with Graph Convolutional Networks for Political Perspective Detection in News Media

  • Knowledge

    • EMNLP-20

      Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks

• Natural Language Inference

  • Knowledge

    • AAAI-19

      Improving Natural Language Inference Using External Knowledgein the Science Questions Domain

    • AAAI-20

      Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks

    • EMNLP-19

      KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

• Semantic Role Labeling

  • Dependency

    • ArXiv-20

      Cross-Lingual Semantic Role Labeling With Model Transfer

      Semantic Role Labeling with Heterogeneous Syntactic Knowledge

    • ACL-20

      Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks

    • EMNLP-17

      Encoding Sentences with Graph Convolutional Networks

    • EMNLP-18

      A Unified Syntax-aware Framework for Semantic Role Labeling

  • GNN for Directed Graphs

    • ArXiv-20

      Semantic Role Labeling with Heterogeneous Syntactic Knowledge

    • ACL-20

      Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks

    • EMNLP-20

      Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling

    • EMNLP-17

      Encoding Sentences with Graph Convolutional Networks

    • EMNLP-18

      A Unified Syntax-aware Framework for Semantic Role Labeling

  • GNN for Heterogeneous Graphs

    • ArXiv-20

      Cross-Lingual Semantic Role Labeling With Model Transfer

      Semantic Role Labeling with Heterogeneous Syntactic Knowledge

    • EMNLP-20

      Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling

    • EMNLP-17

      Encoding Sentences with Graph Convolutional Networks

    • EMNLP-18

      A Unified Syntax-aware Framework for Semantic Role Labeling

  • Constituency

    • EMNLP-20

      Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling

  • GNN for Undirected Graphs

    • ArXiv-20

      Cross-Lingual Semantic Role Labeling With Model Transfer

• Fact Verification

  • App-driven

    • ACL-19

      GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification

  • GNN for Undirected Graphs

    • ACL-19

      GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification

• AMR Parsing

  • Graph2Graph

    • ACL-20

      AMR Parsing with Latent Structural Information

    • EMNLP-20

      Online Back-Parsing for AMR-to-Text Generation

  • Dependency

    • ACL-20

      AMR Parsing with Latent Structural Information

  • GNN for Directed Graphs

    • ACL-20

      AMR Parsing with Latent Structural Information

    • EMNLP-20

      Online Back-Parsing for AMR-to-Text Generation

  • App-driven

    • ACL-20

      AMR Parsing via Graph_x001C_Sequence Iterative Inference(to be deleted)

    • ACL-19

      AMR Parsing as Sequence-to-Graph Transduction(to be deleted)

    • ACL-18

      AMR Parsing as Graph Prediction with Latent Alignment(to be deleted)

  • AMR

    • EMNLP-20

      Online Back-Parsing for AMR-to-Text Generation

  • Graph2Seq

    • EMNLP-20

      Online Back-Parsing for AMR-to-Text Generation

• Sentiment Analysis

  • Dependency

    • ACL-20

      Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification

      Relational Graph Attention Network for Aspect-based Sentiment Analysis

    • EMNLP-19

      Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks

      Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks

    • EMNLP-20

      Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation

  • GNN for Directed Graphs

    • ACL-20

      KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis

      Aspect Sentiment Classification with Document-level Sentiment Preference Modeling

      Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification

      Relational Graph Attention Network for Aspect-based Sentiment Analysis

    • EMNLP-19

      Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks

  • GNN for undirected graphs

    • EMNLP-20

      Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis

  • Similarity

    • ACL-20

      Aspect Sentiment Classification with Document-level Sentiment Preference Modeling

    • EMNLP-20

      Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis

      Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis

  • GNN for Undirected Graphs

    • EMNLP-19

      Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks

    • EMNLP-20

      Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation

  • GNN on Undirected Graphs

    • EMNLP-20

      Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis

  • Knowledge

    • ACL-20

      KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis

• Semantic Parsing

  • Dependency

    • EMNLP-20

      Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem

    • EMNLP-18

      Exploiting Rich Syntactic Information for Semantic Parsingwith Graph-to-Sequence Mode

  • GNN for Directed Graphs

    • ACL-19

      Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing

    • EMNLP-20

      Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem

  • App-driven

    • AAAI-20

      Graph-Based Transformer with Cross-Candidate Verification for Semantic Parsing

    • ACL-19

      Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing

    • EMNLP-19

      Global Reasoning over Database Structures for Text-to-SQL Parsing

  • GNN for Heterogeneous Graphs

    • EMNLP-20

      Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem

    • EMNLP-18

      Exploiting Rich Syntactic Information for Semantic Parsingwith Graph-to-Sequence Mode

  • Constituency

    • EMNLP-20

      Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem

    • EMNLP-18

      Exploiting Rich Syntactic Information for Semantic Parsingwith Graph-to-Sequence Mode

  • Graph2Seq

    • EMNLP-18

      Exploiting Rich Syntactic Information for Semantic Parsingwith Graph-to-Sequence Mode

  • GNN for Undirected Graphs

    • EMNLP-18

      Exploiting Rich Syntactic Information for Semantic Parsingwith Graph-to-Sequence Mode

  • Graph2Tree

    • EMNLP-20

      Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem

• Knowledge Graph Embedding

  • GNN for Directed Graphs

    • ACL-19

      Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

  • GNN for Heterogeneous Graphs

    • ACL-20

      ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding

    • EMNLP-19

      CaRe: Open Knowledge Graph Embeddings

    • IJCAI-19

      A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment

    • NAACL-19

      Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks

  • GNN for Undirected Graphs

    • ACL-19

      A2N: Attending to Neighbors for Knowledge Graph Inference

  • Knowledge

    • AAAI-19

      Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding

    • ACL-20

      ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding

    • ACL-19

      Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

      A2N: Attending to Neighbors for Knowledge Graph Inference

    • EMNLP-19

      CaRe: Open Knowledge Graph Embeddings

    • IJCAI-19

      A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment

    • NAACL-19

      Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks

• Knowledge Base Completion

  • GNN for Directed Graphs

    • ACL-19

      Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

      Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

    • ICLR-20

      DYNAMICALLY PRUNED MESSAGE PASSING NETWORKS FOR LARGE-SCALE KNOWLEDGE GRAPH REASONING

  • GNN for Heterogeneous Graphs

    • AAAI-20

      Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion

    • ESWC 2018

      Modeling Relational Data with Graph Convolutional Networks

    • ACL-19

      Multi-Channel Graph Neural Network for Entity Alignment

    • ICML-20

      Inductive Relation Prediction by Subgraph Reasoning

    • EMNLP-20

      TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion

    • IJCAI-19

      Robust Embedding with Multi-Level Structures for Link Prediction

  • GNN for Undirected Graphs

    • AAAI-19

      End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

    • AAAI-20

      Commonsense Knowledge Base Completion with Structural and Semantic Context

    • ACL-19

      A2N: Attending to Neighbors for Knowledge Graph Inference

    • ICML-20

      Inductive Relation Prediction by Subgraph Reasoning

    • EMNLP-19

      Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning

  • Knowledge

    • AAAI-19

      End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

    • AAAI-20

      Commonsense Knowledge Base Completion with Structural and Semantic Context

      Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion

    • ESWC 2018

      Modeling Relational Data with Graph Convolutional Networks

    • ACL-19

      Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

      A2N: Attending to Neighbors for Knowledge Graph Inference

      Multi-Channel Graph Neural Network for Entity Alignment

      Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

    • ICML-20

      Inductive Relation Prediction by Subgraph Reasoning

      Inductive Relation Prediction by Subgraph Reasoning

    • EMNLP-19

      Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning

    • EMNLP-20

      TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion

    • IJCAI-19

      Robust Embedding with Multi-Level Structures for Link Prediction

    • ICLR-20

      DYNAMICALLY PRUNED MESSAGE PASSING NETWORKS FOR LARGE-SCALE KNOWLEDGE GRAPH REASONING

• Summarization

  • Co-occurrence

    • EMNLP-20

      Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network

  • Coreference

    • ACL-20

      Discourse-Aware Neural Extractive Text Summarization

  • Dependency

    • AAAI-20

      SemSUM: Semantic Dependency Guided Neural Abstractive Summarization

  • GNN for Directed Graphs

    • AAAI-20

      SemSUM: Semantic Dependency Guided Neural Abstractive Summarization

    • COLING-20

      Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words

    • ACL-20

      Discourse-Aware Neural Extractive Text Summarization

      Discourse-Aware Neural Extractive Text Summarization

      Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward

      Leveraging Graph to Improve Abstractive Multi-Document Summarization

    • EMNLP-20

      Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network

      Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention

    • ACL-17

      Abstractive document summarization with a graph-based attentional neural model

  • AMR

    • COLING-18

      Abstract Meaning Representation for Multi-Document Summarization

  • Discourse

    • ACL-20

      Discourse-Aware Neural Extractive Text Summarization

      Discourse-Aware Neural Extractive Text Summarization

      Leveraging Graph to Improve Abstractive Multi-Document Summarization

    • COLING-17

      Graph-based Neural Multi-Document Summarization

    • ACL-17

      Abstractive document summarization with a graph-based attentional neural model

  • GNN for Heterogeneous Graphs

    • ACL-20

      Heterogeneous Graph Neural Networks for Extractive Document Summarization

  • Node Embedding Based

    • COLING-20

      Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks

  • Similarity

    • COLING-20

      Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words

    • ACL-20

      Leveraging Graph to Improve Abstractive Multi-Document Summarization

      Heterogeneous Graph Neural Networks for Extractive Document Summarization

    • EMNLP-20

      Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network

      Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention

    • COLING-17

      Graph-based Neural Multi-Document Summarization

  • Graph2Seq

    • COLING-20

      Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words

      Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks

    • ACL-20

      Discourse-Aware Neural Extractive Text Summarization

      Discourse-Aware Neural Extractive Text Summarization

      Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward

      Leveraging Graph to Improve Abstractive Multi-Document Summarization

      Heterogeneous Graph Neural Networks for Extractive Document Summarization

    • EMNLP-20

      Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network

      Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention

    • COLING-17

      Graph-based Neural Multi-Document Summarization

    • COLING-18

      Abstract Meaning Representation for Multi-Document Summarization

    • ACL-17

      Abstractive document summarization with a graph-based attentional neural model

  • GNN for Undirected Graphs

    • COLING-17

      Graph-based Neural Multi-Document Summarization

  • IE

    • ACL-20

      Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward

  • Topic

    • ACL-20

      Leveraging Graph to Improve Abstractive Multi-Document Summarization

• Text Classification

  • Coreference

    • ACL-20

      Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks

  • App-driven

    • AAAI-19

      Graph Convolutional Networks for Text Classification

    • AAAI-20

      Tensor Graph Convolutional Networks for Text Classification

    • EMNLP-19

      Text Level Graph Neural Network for Text Classification

      Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification

  • GNN for Heterogeneous Graphs

    • AAAI-20

      Tensor Graph Convolutional Networks for Text Classification

    • EMNLP-19

      Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification

  • GNN for Undirected Graphs

    • AAAI-19

      Graph Convolutional Networks for Text Classification

    • ACL-20

      Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks

    • EMNLP-19

      Text Level Graph Neural Network for Text Classification

• Relation Extraction

  • Node Embedding Based Refined

    • NAACL-19

      A General Framework for Information Extraction using Dynamic Span Graphs

  • Co-occurrence

    • EMNLP-19

      Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

  • Document

    • EMNLP-19

      Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

  • Coreference

    • ACL-19

      Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network

    • NAACL-19

      A General Framework for Information Extraction using Dynamic Span Graphs

  • Dependency

    • ACL-19

      GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction

      Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network

      Attention Guided Graph Convolutional Networks for Relation Extraction

      Attention Guided Graph Convolutional Networks for Relation Extraction

    • NAACL-19

      GraphIE: A Graph-Based Framework for Information Extraction

    • EMNLP-18

      Graph Convolution over Pruned Dependency Trees Improves Relation Extraction

      RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

      N-ary Relation Extraction using Graph State LSTM

  • GNN for Directed Graphs

    • ACL-20

      Structural Information Preserving for Graph-to-Text Generation

    • ACL-19

      Attention Guided Graph Convolutional Networks for Relation Extraction

    • EMNLP-18

      Graph Convolution over Pruned Dependency Trees Improves Relation Extraction

      RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

      N-ary Relation Extraction using Graph State LSTM

  • App-driven

    • ACL-20

      Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction

    • ICML-20

      Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs

    • EMNLP-20

      Double Graph Based Reasoning for Document-level Relation Extraction

  • AMR

    • ACL-20

      Structural Information Preserving for Graph-to-Text Generation

  • GNN for Heterogeneous Graphs

    • ACL-19

      GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction

      Joint Type Inference on Entities and Relations via Graph Convolutional Networks

      Graph Neural Networks with Generated Parameters for Relation Extraction

    • EMNLP-19

      Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

    • EMNLP-20

      Double Graph Based Reasoning for Document-level Relation Extraction

    • NAACL-19

      Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks

  • Graph2Seq

    • ACL-20

      Structural Information Preserving for Graph-to-Text Generation

  • GNN for Undirected Graphs

    • ACL-19

      Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network

      Attention Guided Graph Convolutional Networks for Relation Extraction

    • ICML-20

      Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs

    • NAACL-19

      GraphIE: A Graph-Based Framework for Information Extraction

  • IE

    • EMNLP-18

      RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

  • Knowledge

    • ACL-20

      Structural Information Preserving for Graph-to-Text Generation

    • NAACL-19

      Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks

    • EMNLP-18

      RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

• Machine Reading Comprehension

  • Co-occurrence

    • ACL-19

      Dynamically Fused Graph Network for Multi-hop Reasoning

  • Coreference

    • NAACL-19

      Question Answering by Reasoning Across Documents with Graph Convolutional Networks

  • GNN for Directed Graphs

    • ACL-20

      Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

      Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension

    • ACL-19

      Dynamically Fused Graph Network for Multi-hop Reasoning

  • App-driven

    • ACL-20

      Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks

      Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension

    • ACL-19

      Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs

      Cognitive Graph for Multi-Hop Reading Comprehension at Scale

    • EMNLP-19

      NumNet: Machine Reading Comprehension with Numerical Reasoning

    • EMNLP-20

      Hierarchical Graph Network for Multi-hop Question Answering

      SRLGRN: Semantic Role Labeling Graph Reasoning Network

    • IJCAI-20

      Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network

  • GNN for Heterogeneous Graphs

    • ACL-19

      Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs

    • EMNLP-19

      NumNet: Machine Reading Comprehension with Numerical Reasoning

    • EMNLP-20

      SRLGRN: Semantic Role Labeling Graph Reasoning Network

    • NAACL-19

      Question Answering by Reasoning Across Documents with Graph Convolutional Networks

    • IJCAI-20

      Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network

  • Node Embedding Based

    • IJCAI-20

      GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension

  • Graph2Seq

    • ACL-20

      Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

      Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks

    • ACL-19

      Dynamically Fused Graph Network for Multi-hop Reasoning

  • GNN for Undirected Graphs

    • ACL-20

      Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks

    • ACL-19

      Cognitive Graph for Multi-Hop Reading Comprehension at Scale

    • EMNLP-20

      Hierarchical Graph Network for Multi-hop Question Answering

      SRLGRN: Semantic Role Labeling Graph Reasoning Network

    • NAACL-19

      BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering

    • IJCAI-20

      GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension

  • IE

    • EMNLP-20

      SRLGRN: Semantic Role Labeling Graph Reasoning Network

    • NAACL-19

      BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering

  • Knowledge

    • ACL-20

      Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

• Community Question Answering

  • Node Embedding Based

    • MM-20

      Multi-modal Attentive Graph Pooling Model for Community Question Answer Matching

    • MM-19

      Hierarchical Graph Semantic Pooling Network for Multi-modal Community Question Answer Matching

  • Similarity

    • MM-20

      Multi-modal Attentive Graph Pooling Model for Community Question Answer Matching

  • Graph2Seq

    • MM-20

      Multi-modal Attentive Graph Pooling Model for Community Question Answer Matching

    • MM-19

      Hierarchical Graph Semantic Pooling Network for Multi-modal Community Question Answer Matching

  • GNN for Undirected Graphs

    • MM-20

      Multi-modal Attentive Graph Pooling Model for Community Question Answer Matching

    • MM-19

      Hierarchical Graph Semantic Pooling Network for Multi-modal Community Question Answer Matching

• SQL2Text

  • GNN for Directed Graphs

    • ArXiv-18

      Graph2seq: Graph to sequence learning with attention-based neural networks

    • EMNLP-18

      SQL-to-Text Generation with Graph-to-Sequence Model

  • App-driven

    • EMNLP-19

      Graph Enhanced Cross-Domain Text-to-SQL Generation

    • ArXiv-18

      Graph2seq: Graph to sequence learning with attention-based neural networks

    • EMNLP-18

      SQL-to-Text Generation with Graph-to-Sequence Model

  • Graph2Seq

    • EMNLP-19

      Graph Enhanced Cross-Domain Text-to-SQL Generation

    • ArXiv-18

      Graph2seq: Graph to sequence learning with attention-based neural networks

    • EMNLP-18

      SQL-to-Text Generation with Graph-to-Sequence Model

  • GNN for Undirected Graphs

    • EMNLP-19

      Graph Enhanced Cross-Domain Text-to-SQL Generation

• Machine Translation

  • Coreference

    • AAAI-21

      Document Graph for Neural Machine Translation

    • NAACL-19

      Text Generation from Knowledge Graphs with Graph Transformers

  • Dependency

    • AAAI-21

      Document Graph for Neural Machine Translation

    • EMNLP-17

      Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

    • ACL-18

      Graph-to-Sequence Learning using Gated Graph Neural Networks

    • NAACL-18

      Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks

    • EACL-17

      Context-Aware Graph Segmentation for Graph-Based Translation

  • GNN for Directed Graphs

    • AAAI-20

      Graph Transformer for Graph-to-Sequence Learning

    • ACL-19

      Lattice-Based Transformer Encoder for Neural Machine Translation

    • TACL-20

      AMR-To-Text Generation with Graph Transformer

    • AAAI-18

      Graph Based Translation Memory for Neural Machine Translation

    • AAAI-21

      Document Graph for Neural Machine Translation

    • EMNLP-17

      Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

      Neural Machine Translation with Source-Side Latent Graph Parsing

    • ACL-18

      Graph-to-Sequence Learning using Gated Graph Neural Networks

    • NAACL-19

      Text Generation from Knowledge Graphs with Graph Transformers

    • IJCAI-20

      Knowledge Graphs Enhanced Neural Machine Translation

    • TACL-19

      Semantic neural machine translation using AMR

    • NAACL-18

      Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks

  • App-driven

    • ACL-20

      A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation

    • ACL-19

      Lattice-Based Transformer Encoder for Neural Machine Translation

    • AAAI-18

      Graph Based Translation Memory for Neural Machine Translation

  • AMR

    • AAAI-20

      Graph Transformer for Graph-to-Sequence Learning

    • ACL-20

      Heterogeneous Graph Transformer for Graph-to-Sequence Learning

    • TACL-20

      AMR-To-Text Generation with Graph Transformer

    • ACL-18

      Graph-to-Sequence Learning using Gated Graph Neural Networks

    • TACL-19

      Semantic neural machine translation using AMR

      Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning

  • GNN for Heterogeneous Graphs

    • ACL-20

      Heterogeneous Graph Transformer for Graph-to-Sequence Learning

  • Node Embedding Based

    • EMNLP-17

      Neural Machine Translation with Source-Side Latent Graph Parsing

  • Graph2Seq

    • AAAI-20

      Graph Transformer for Graph-to-Sequence Learning

    • COLING-20

      Knowledge Graph Enhanced Neural Machine Translation via Multi-task Learning on Sub-entity Granularity

    • ACL-20

      Heterogeneous Graph Transformer for Graph-to-Sequence Learning

      A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation

    • ACL-19

      Lattice-Based Transformer Encoder for Neural Machine Translation

    • TACL-20

      AMR-To-Text Generation with Graph Transformer

    • AAAI-18

      Graph Based Translation Memory for Neural Machine Translation

    • AAAI-21

      Document Graph for Neural Machine Translation

    • EMNLP-17

      Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

      Neural Machine Translation with Source-Side Latent Graph Parsing

    • ACL-18

      Graph-to-Sequence Learning using Gated Graph Neural Networks

    • NAACL-19

      Text Generation from Knowledge Graphs with Graph Transformers

    • IJCAI-20

      Knowledge Graphs Enhanced Neural Machine Translation

    • TACL-19

      Semantic neural machine translation using AMR

      Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning

    • NAACL-18

      Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks

    • EACL-17

      Context-Aware Graph Segmentation for Graph-Based Translation

  • GNN for Undirected Graphs

    • ACL-20

      A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation

    • TACL-19

      Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning

  • Knowledge

    • COLING-20

      Knowledge Graph Enhanced Neural Machine Translation via Multi-task Learning on Sub-entity Granularity

    • NAACL-19

      Text Generation from Knowledge Graphs with Graph Transformers

    • IJCAI-20

      Knowledge Graphs Enhanced Neural Machine Translation

• Knowledge Base Completion/Reasoning

  • GNN for Directed Graphs

    • ICLR-20

      DYNAMICALLY PRUNED MESSAGE PASSING NETWORKS FOR LARGE-SCALE KNOWLEDGE GRAPH REASONING

  • Knowledge

    • ICLR-20

      DYNAMICALLY PRUNED MESSAGE PASSING NETWORKS FOR LARGE-SCALE KNOWLEDGE GRAPH REASONING

• Knowledge Base Question Answering

  • GNN for Heterogeneous Graphs

    • EMNLP-20

      Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering

    • COLING-18

      Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering

  • Knowledge

    • EMNLP-20

      Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering

    • COLING-18

      Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering